Comparing the Effects of Signal Noise on Pattern Recognition and Linear Regression-Based Myoelectric Controllers.
Yuni TehRichard B. WoodwardLevi J. HargrovePublished in: EMBC (2018)
Keyphrases
- pattern recognition
- signal processing
- random noise
- additive noise
- low signal to noise ratio
- spatial filters
- image processing
- nonlinear filters
- white noise
- signal detection
- noisy environments
- noise sensitivity
- linear filters
- low frequency
- feature extraction
- wide band
- impulse response
- low snr
- received signal
- median filter
- machine learning
- signal to noise ratio
- control system
- neural network
- stochastic resonance
- noise model
- image analysis
- frequency domain
- non stationary
- noise variance
- additive gaussian noise
- computer vision
- noisy data
- power spectrum
- original signal
- response function
- noise reduction
- noisy observations
- transfer function
- statistically independent
- dimensionality reduction
- denoising
- image restoration
- high pass
- quantization noise
- missing data
- autocorrelation function
- filter bank
- image denoising
- noise removal
- slowly varying
- gaussian process